A Lars-Based Method of the Construction of a Fuzzy Regression Model for the Selection of Significant Features

A LARS-based method is proposed for constructing a fuzzy regression model. Peculiarities of the use of fuzzy regression analysis for medical diagnosis are considered. The method allows one to reduce the number of parameters of the model that exert influence on the predictable degree of nasal obstruc...

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Veröffentlicht in:	Cybernetics and systems analysis 2016-07, Vol.52 (4), p.641-646
Hauptverfasser:	Yerokhin, A. L., Babii, A. S., Nechyporenko, A. S., Turuta, O. P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Construction Control Cybernetics Fuzzy Fuzzy logic Linear programming Mathematical models Mathematics Mathematics and Statistics Methods Obstructions Patients Processor Architectures Regression Regression analysis Software Engineering/Programming and Operating Systems Software–Hardware Systems Studies Systems analysis Systems Theory Variables
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